According to research, it is estimated that AI could contribute $15.7 trillion to the global economy by 2030. As AI-enhanced products diffuse into markets and households, service providers have a gigantic task to facilitate interpretable algorithmic decision making. Over the past couple of years, many fairness tools have been introduced to make ML models more fair and explainable. In the next section, we list popular tools by the likes of Google and Microsoft, which are designed to imbue fairness into ML pipeline building.

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Want Your Machine Learning Algorithm To Be Fair? Check These 8 Tools
1.10 GEEK